2 citations · 4 across the 6 of their papers we have counts for
6 papers · 1 filter
UniMo: Unifying Human and Animal Motion Generation
Zeyu Zhang, Zhiyuan Zhang, Siheng Wang +4
The conditional generation of 3D motion has emerged as a key research topic due to its wide applicability across robotics, AR/VR, gaming, and content creation. However, extending r…
GeoWorld: Geometric World Models
Zeyu Zhang, Danning Li, Ian Reid +1
Energy-based predictive world models provide a powerful approach for multi-step visual planning by reasoning over latent energy landscapes rather than generating pixels. However, e…
Motion Anything: Any to Motion Generation
Zeyu Zhang, Yiran Wang, Wei Mao +7
Conditional motion generation has been extensively studied in computer vision, yet two critical challenges remain. First, while masked autoregressive methods have recently outperfo…
InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation
Zeyu Zhang, Akide Liu, Qi Chen +5
Text-to-motion generation holds potential for film, gaming, and robotics, yet current methods often prioritize short motion generation, making it challenging to produce long motion…
Motion Mamba: Efficient and Long Sequence Motion Generation
Zeyu Zhang, Akide Liu, Ian Reid +3
Human motion generation stands as a significant pursuit in generative computer vision, while achieving long-sequence and efficient motion generation remains challenging. Recent adv…
SegReg: Segmenting OARs by Registering MR Images and CT Annotations
Zeyu Zhang, Xuyin Qi, Bowen Zhang +8
Organ at risk (OAR) segmentation is a critical process in radiotherapy treatment planning such as head and neck tumors. Nevertheless, in clinical practice, radiation oncologists pr…